Abstract
A channel allocation (CA) scheme is proposed for wireless networks serving multiple services. The CA scheme is based on collocating the base stations of the wireless networks and restricting their coverage over common cells. The increased coverage granularity makes feasible a more efficient frequency reuse. A genetic algorithm approach is adopted to minimize the number of channels required by the multiservice networks, taking into account the intranetwork and intraservice constraints over a specific coverage area. To validate the proposed scheme and investigate its performance, the Philadelphia benchmark network is employed. Simulation results corresponding to a mix of digital TV and mobile services of various profiles demonstrate the capability of the proposed scheme to optimally allocate channels to multiservice wireless networks.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
ETSI EN. (2006). Digital video broadcasting (DVB) framing structure, channel coding and modulation for digital terrestrial television.
Stevenson, C., Chouinard, G., Lei, Z., Hu, W., Shellhammer, S., & Caldwell, W. (2009). IEEE 802.22: The first cognitive radio wireless regional area network standard. Communications Magazine, IEEE, 47(1), 130–138.
Federal Communications Commission. (2008). Second report and order and memorandum opinion and order in the matter of unlicensed operation in the TV broadcast bands, additional spectrum for unlicensed devices below 900 MHz and in the 3 GHz band. Docket Number 08–260, 14 Nov 2008.
Valenzuela, C., Hurley, S., & Smith, D. H. (1998). A permutation based genetic algorithm for minimum span frequency assignment. Lecture Notes in Computer Science, 1498, 907–916.
Beckmann, D., & Killat, U. (1999). A new strategy for the application of genetic algorithms to the channel-assignment problem. Vehicular Technology, IEEE Transactions on, 48(4), 1261–1269.
Matsui, S., & Tokoro, K. (2001). Improving the performance of a genetic algorithm for minimum span frequency assignment problem with an adaptive mutation rate and a new initialization method. In Proceedings of the of GECCO-2001 (genetic and, evolutionary computation conference) (pp. 1359–1366).
Eisenblatter, A., Geerdes, H.-F., & Siomina, I. (2007). Integrated access point placement and channel assignment for wireless LANs in an indoor office environment. In Proceedings of the 8th IEEE international symposium on a world of wireless, mobile and multimedia.
Villegas, E. G., Ferre, R. V., & Aspas, J. P. (2005). Implementation of a distributed dynamic channel assignment mechanism for IEEE 802.11 networks. In Proceedings of PIMRC 2005.
Pinagapany, S., Kulkarni, A. V., & Patil, D. Y. (2008). Solving channel allocation problem in cellular radio networks using genetic algorithm. In 3rd international conference on communication systems software and middleware and workshops, 2008. COMSWARE 2008. Publication date: 6–10 Jan 2008.
Reddy, Y. B., Gajendar, N., Taylor, P., & Madden, D. (2007). Computationally efficient resource allocation in OFDM systems: Genetic algorithm approach, information technology, 2007. In ITNG ’07 Fourth international conference on (pp. 36–41), 2–4 April 2007.
Anderson, L. G. (1973). A simulation study of some dynamic channel assignment algorithms in a high capacity mobile telecommunications system. IEEE Transactions on Communications, 21, 1294–1301.
Hale, W. K. (1980). Frequency assignment: Theory and applications. Proceedings of the IEEE, 68, 1497–1514.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kapsalis, N.C., Cottis, P.G. Channel Allocation to Multiservice Wireless Networks: A Collocation—Based Approach to Enhance Spectrum Utilization. Wireless Pers Commun 74, 359–371 (2014). https://doi.org/10.1007/s11277-013-1289-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-013-1289-3